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The document describes the development of a dynamic query creation wizard using SAS IntrNet to simplify the online publication of data queries by the Los Angeles County Department of Public Health,
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How to fill out Query Creation Wizards Using SAS® IntrNet

01
Open the Query Creation Wizard in SAS® IntrNet.
02
Select the desired data source from which you want to create your query.
03
Choose the fields or variables you want to include in your query.
04
Set any required filters or criteria to refine the data.
05
Define the order in which the results should be sorted.
06
Preview the query results to ensure correctness.
07
Save the query with a descriptive name for future use.
08
Execute the query to retrieve the data.

Who needs Query Creation Wizards Using SAS® IntrNet?

01
Business analysts who need to generate reports from databases.
02
Data scientists looking for an easy way to access and manipulate datasets.
03
Content creators who want to pull data for visualization or analysis.
04
IT professionals managing data access and report generation processes.
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Query Creation Wizards Using SAS® IntrNet is a web-based interface that allows users to construct and run database queries without needing extensive programming knowledge. It provides a user-friendly way to create queries and generate reports from data stored in SAS®.
Individuals or organizations that generate or analyze data requiring reporting to stakeholders or regulatory bodies are typically required to file using Query Creation Wizards. This often includes data analysts, researchers, and businesses that utilize SAS® for data management.
To fill out the Query Creation Wizards, users need to follow the guided steps provided in the wizard interface. This includes selecting data sources, defining the parameters for the query, and inputting any required filters or criteria. Users can preview results and generate final reports based on the configured queries.
The purpose of Query Creation Wizards Using SAS® IntrNet is to facilitate the process of data querying and reporting for users who may not be familiar with complex programming. It aims to streamline data extraction and analysis, making it more accessible and efficient.
The information required to be reported includes specific data fields relevant to the query, summary statistics, or analyses needed by stakeholders. This may encompass demographic data, performance metrics, or any other data points crucial for reporting purposes.
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